5G and Beyond; 6G; Network Slicing; NFV; SDN; Resource Allocation; MEC; Network Design

I am a research student at Coventry University working on E2E Network Slicing (2022-).

I was with the Router R&D Dept. of SINA Communication Systems, Tehran, Iran (2021-2022) as a network solutions expert. Moreover, I worked as a network performance tools engineer at RighTel Communications, Tehran, Iran (2020-2021).

Regarding my academic background, I'm a Software Engineering M.Sc. graduate from Tarbiat Modares University, Tehran (2017-2020). My research activities include 5G (focusing on core networks), NFV, SDN, Resource Allocation, and Network Slicing. I also collaborated on a research project about migrating to 5G mobile networks for the Mobile Telecommunication Company of Iran (MCI) (2018-2019).

Title: 5G/6G End-to-end Network Slicing Framework for Vertical Industries

Supervised by: Dr Olivier C. L. Haas, Prof. Soufiene Djahel, Dr Hui Zhou, and Dr. Faouzi Bouali


Vision Statement:

Network Slicing (NS) is a cornerstone of fifth and sixth-generation (5G/6G) mobile networks. It enables Mobile Network Operators (MNOs) to maximize the use of physical infrastructure across multiple technological domains, facilitating support for a variety of applications. Essentially, it allows telecom operators to offer distinct “slices” of their network resources to different vertical industries—such as automotive, Industry 4.0, and eHealth—thereby improving resource efficiency and driving significant return on investment. However, despite its potential, network slicing is still in its early stages, with limited deployment across small segments of the network.

In this context, my PhD project focuses on developing an end-to-end (E2E) 5G/6G network slicing framework. This framework will encompass the entire network ecosystem—including the radio access network, transport network, and core network—and will be customized to address the diverse requirements of various vertical industries. A primary objective of the project is to tackle the resource management challenges associated with network slices throughout their lifecycle. More specifically, the research will focus on addressing one critical gap in the existing literature: resource management in scenarios involving user mobility, while maintaining industrial relevance and practical applicability.

This project aims to contribute an E2E resource management framework that effectively meets the demands of vertical industries within dynamic 5G/6G environments.

MSc Thesis submitted to Tarbiat Modares University, Tehran, Iran (2018-2020). 

Title: A Resource Allocation Method for Network Slicing in Software-Defined 5G Networks

Abstract:

Network slicing is a crucial part of the 5G networks that communication service providers (CSPs) seek to deploy. By exploiting three main enabling technologies, namely, software-defined networking (SDN), network function virtualization (NFV), and network slicing, communication services can be served to the end-users in an efficient, scalable, and flexible manner. To adopt these technologies, what is highly important is how to allocate the resources and admit the customers of the CSPs based on the predefined criteria and available resources.

 In this regard, we propose a novel joint resource and admission management algorithm for slice-enabled networks. In the proposed algorithm, our target is to minimize the power consumption cost of cloud nodes and the bandwidth consumption cost of the CSP subject to the slice requests received from the tenants corresponding to the virtual machines and virtual links constraints. Our performance evaluation of the proposed method shows its efficiency in managing CSP's resources.

Keywords: 5G, Mobile Networks, Network Slicing, SDN, NFV, Resource Allocation, Admission Control